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100

To calculate degrees of freedom (df) for chi-square of goodness-of-fit, homogeneity, and association/independence is defined as (r-1)(c-1)=df

What is FALSE?

100

Can be used when two measurements generally are before and after a treatment intervention.

What is a Paired t-test?

100

Define Biostatistics?

Biostatistics is the application of the discipline of statistics to problems in Biology, Human Biology, and/or Public Health. 

100

The study must be conducted in a proper manner,____________, and the null hypothesis must be rejected at p-value, "p" is less than or equal to 0.05.

What is appropriate statistics must be used

100

What is the equation for Chi-Square?

What is (O/E)2/E?

200

Two-Way ANOVA shows the variance between groups and within groups while One-Way ANOVA assesses the interaction effects.

What is FALSE?: 

Two-Way ANOVA assesses the interaction effects.

One-Way ANOVA shows the variance between groups and within the groups. 

200

Can be used to determine whether observed frequencies are significantly different from expected frequencies. 

What is Chi-Square?

200

This type of analysis has one dependent variable and multiple independent variable.

What is Multivariable analysis test?

200

Multivariate analysis has _____ ____________ variable and multiple __________ variable.

What is 

a. Two dependent 

b. independent 

200

Calculate the degrees of freedom for each type of chi-square.

What is 

Chi-square goodness-of-fit: df= category (c)-1

Chi-square homogeneity | Chi-square association/independence: df= (r-1)(c-1)

300

The best design for a homogeneous population is CRD over RBD.

What is TRUE?

300

Can be used to examine the effects of several independent variables on the value of the dependent variable. In addition, it controls for confounders.

What is Multiple regression model?

300

Define Chi-Square of association/independence.

What is an association between a row variable and a column variable?

300

Simple linear regression model is a linear relationship between _________ variable and the __________ variable.

What is

a. predictor 

b. outcome

300

What is the equation for paired t-test?

What is to= (dbar)/(Sd/sqrt(n))?

400

The two disadvantages of CRD are that its usually suited for large experiments because experimental units must be uniform and the analysis does not distinguish between the treatment effects. 

What is FALSE?

400

Can be used to divide subjects with similar characteristics into blocks, and then within each block, randomly assign subjects to treatment groups.

What is Randomized Block Design (RBD)?

400

Define Simple linear regression model.

What is a linear relationship between one predictor variable and the outcome variable

400

Advantages of CRD:

(1) Complete flexibility is allowed.

(2)

(3) The method of analysis is easy.

(4) 

What is 

(2) The statistical analysis remains simple even though some experimental units may be lost during the study.

(4) The design maximizes the number of degrees of freedom for the error term.

400

What is the equation for unpaired t-test, assuming population mean is not zero?

What is to= ((x1-x2)-(u1-u2))/sqrt(s1/n1 + s2/n2) ?

 

500

Type 1 gives you a false positive. Type 2 gives you a false negative.

What is True?

500

Compares the means between more than two independent groups. 

What is ANOVA?

500

Define Type 1 error and Type 2 error.

What is Type 1 occurs when we incorrectly reject the null hypothesis and Type 2 occurs when we incorrectly accept the null hypothesis or error that occurs when one fails to reject a null hypothesis that is actually false?

500

SEE BOARD FOR ANOVA TABLE

What is:

*Source of variation

*Within the group (Error)

*TrSS

*TSS

*ESS/n-k

*F-Value 

*MSStr/MSSe


500

Break down the hypothesis test procedure in all the steps. 

What is:

Step 1 - Formulate the null and alternative hypothesis.

Step 2 - Identify the appropriate test statistic

Step 3 - State the significance level

Step 4 - State the statistical decision rule

Step 5 - Construct the One-Way ANOVA Table

Step 6 - Make conclusions based on statistical analyses.